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. 2016 Apr 23;23(6):1060–1067. doi: 10.1093/jamia/ocv207

Table 2.

Performance of the prespecified type 1 and type 2 algorithms by age applied to all true cases at MUSC and UNCa

Non-CART Diabetes Algorithms System Met Criteria (N) Sensitivity (%) Specificity (%) PPV (%)
Total <10 y ≥10 y Total <10 y ≥10 y Total <10 y ≥10 y Total <10 y ≥10 y
Type 1 Algorithms
 ≥1 type 1 codes MUSC 570 97 473 99.0 100.0 98.7 48.0 70.0 46.7 83.9 96.9 81.2
UNC 443 76 367 97.0 98.7 96.7 62.1 83.3 61.1 88.7 98.7 86.6
 ≥2 type 1 codes MUSC 537 94 443 96.7 97.9 96.4 60.5 80.0 59.3 87.0 97.9 84.7
UNC 415 76 339 93.6 98.7 92.4 72.7 83.3 72.2 91.3 98.7 89.7
 0 type 2 codes and ≥1 type 1 codes MUSC 195 50 145 39.8 53.2 36.5 98.3 100.0 98.2 98.5 100.0 97.9
UNC 141 18 123 34.6 23.7 37.1 99.2 100.0 99.2 99.3 100.0 99.2
 Ratio of type 1 codes to the sum of type 1 and type 2 codes ≥ 0.3 MUSC 510 96 414 98.8 98.9 98.7 81.4 70.0 82.0 93.5 96.9 92.8
UNC 413 76 337 96.8 98.7 96.4 84.1 83.3 84.1 94.9 98.7 94.1
 Ratio of type 1 codes to the sum of type 1 and type 2 codes ≥ 0.4 MUSC 496 95 401 98.6 98.9 98.5 88.7 80.0 89.2 96.0 97.9 95.5
UNC 402 76 326 96.3 98.7 95.7 90.9 83.3 91.3 97.0 98.7 96.6
 Ratio of type 1 codes to the sum of type 1 and type 2 codes ≥ 0.5 MUSC 490 95 395 98.6 98.9 98.5 92.1 80.0 92.8 97.1 97.9 97.0
UNC 397 76 321 95.6 98.7 94.8 92.4 83.3 92.9 97.5 98.7 97.2
 Ratio of type 1 codes to the sum of type 1 and type 2 codes ≥ 0.6 MUSC 481 95 386 97.7 98.9 97.4 94.9 80.0 95.8 98.1 97.9 98.2
UNC 383 75 308 93.3 97.4 92.4 96.2 83.3 96.8 98.7 98.7 98.7
Type 2 Algorithms
 ≥1 type 2 codes MUSC 451 50 401 93.0 N/A 94.4 37.7 N/A 34.4 26.6 N/A 29.7
UNC 375 62 313 91.9 N/A 92.9 34.4 N/A 36.7 21.1 N/A 24.9
 ≥2 type 2 codes MUSC 316 33 283 83.7 N/A 85.7 60.8 N/A 59.3 34.2 N/A 38.2
UNC 256 31 225 82.6 N/A 83.3 59.0 N/A 58.2 27.7 N/A 31.0
 ≥1 type 2 codes and 0 type 1 codes MUSC 76 3 73 41.9 N/A 42.1 95.9 N/A 95.3 71.1 N/A 72.6
UNC 73 4 69 54.7 N/A 54.8 94.2 N/A 93.8 64.4 N/A 66.7
 Ratio of type 2 codes to the sum of type 1 and type 2 codes ≥ 0.3 MUSC 181 8 173 93.0 N/A 94.4 88.5 N/A 87.4 66.3 N/A 68.8
UNC 151 10 141 91.9 N/A 92.9 84.0 N/A 83.0 52.3 N/A 55.3
 Ratio of type 2 codes to the sum of type 1 and type 2 codes ≥ 0.4 MUSC 168 7 161 91.5 N/A 92.9 90.6 N/A 89.8 70.2 N/A 72.7
UNC 138 6 132 91.9 N/A 92.9 86.9 N/A 85.4 57.2 N/A 59.1
 Ratio of type 2 codes to the sum of type 1 and type 2 codes ≥ 0.5 MUSC 164 5 159 91.5 N/A 92.9 91.3 N/A 90.2 72.0 N/A 73.6
UNC 128 4 124 88.4 N/A 89.3 88.5 N/A 86.8 59.4 N/A 60.5
 Ratio of type 2 codes to the sum of type 1 and type 2 codes ≥ 0.6 MUSC 151 5 146 88.4 N/A 89.7 93.0 N/A 92.3 75.5 N/A 77.4
UNC 116 4 112 84.9 N/A 85.7 90.5 N/A 89.2 62.9 N/A 64.3

True diabetes cases (N = 660 at MUSC and N = 537 at UNC) confirmed by medical record review established our “gold standard” for evaluation of the algorithms’ performance.

Abbreviations: MUSC: Medical University of South Carolina; PPV: positive predictive value; UNC: University of North Carolina; y, years.aResults from UNC were previously published.10